At Shipt, we are transforming the grocery shopping experience and giving time back to consumers. Shipt shoppers handpick fresh groceries and household essentials, then deliver them to your door in as little as one hour.

The Shipt Data Science team is looking for a Marketing Data Scientist with significant paid media optimization, experimentation and web tracking experience to drive growth and acquisition.

• Shape and grow marketing intelligence for Shipt




• Perform structured qualitative and quantitative marketing analysis, interpret and synthesize data resulting in business recommendations.




• Identify and evaluate audience segmentation and targeting.




• Effectively communicate, both orally and in writing, with stakeholders to identify solutions and deliver findings.

Requirements

• 2+ years of work experience as a marketing data scientist.




• Experience with many types of digital marketing including, but not limited to, paid search, SEO, display, paid social, etc..




• Experience developing marketing optimization algorithms and performing robust analyses on clickstream data.




• Ability to develop appropriate KPIs for monitoring and measurement of marketing optimization efforts




• Experience with various qualitative and quantitative research methodologies such as A/B testing, automated bidding and audience generation, and customer journey.




• Ability to distill research findings into clear, and compelling data-backed presentations, data visualizations, and/or infographics.




• Proven ability to use customer insights to drive a holistic marketing strategy.




• Great interpersonal skills to collaborate with a wide diversity of colleagues in other disciplines and cultures.




• Driven to get the whole story, and to deeply know the business you support.




• Ability to collaborate and also operate independently.

Additional Requirements

• Proficiency in Python or R, SQL, Web-tracking data, and visualization tools such as Tableau


• Experience successfully advocating for insights-driven change with leadership and task forces.

This position can be 100% remote. #LI-Remote

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.